Scientific Computing Project Manager

Company: Cancer Research UK Cambridge InstituteOverview: The Cancer Research UK Cambridge Institute (CRUKCI) IT & Scientific Computing team provide the Institute’s researchers with access to world class computing and data management facilities to support their work. The team is responsible for day to day operational support of client and server systems, and provides design and implementation skills for new systems, and acts as a source of expertise for training and strategic direction.
Location: Cambridge UKSalary: £32,901-£44,166 pa plus benefits Ref SW01125

Job Description

The team has a wide range of technical skills, and projects to modify or implement systems are managed in a matrix structure with appropriate staff appointed to projects based on technical expertise and availability. Project areas include:

The provision of hardware and software for High Performance Computing (currently 1,300 cores)

IT service provision (including email, telephony, and desktop support and management)

Database and metadata management (to support lab based research and sample handling)

Web system development (for a range of collaborative research activities)

Externally funded research & development projects in Scientific Computing.

Projects will also involve the wider environment around the CRUKCI, including the University of Cambridge Medical School, High Performance Computing Service, and Computing Service; and collaborative working with cancer research institutes throughout the UK and the world.

Person Specification

The role holder must have a Degree and a Postgraduate qualification plus qualifications (or significant equivalent experience) both in an experimental science and an IT related discipline.

Good knowledge of structured project management methodologies.

The role holder must have a Degree and a Postgraduate qualification plus qualifications (or significant equivalent experience) both in an experimental science and an IT related discipline.

Good knowledge of structured project management methodologies.

Knowledge of software architecture, especially data modelling and development of multitier systems with RDBMS and .NET or Java.

Some familiarity with server hardware and Enterprise or HPC environments. Good understanding of the IT needs of the life sciences.

Ability to interact with technical experts in a range of technology areas.

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